Spark SQL Jobs in Leeds

Apache Spark SQL
West Yorkshire > Leeds

The table below provides summary statistics for permanent job vacancies advertised in Leeds requiring Spark SQL skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Spark SQL over the 6 months leading up to 1 July 2025, comparing them to the same period in the previous two years.

6 months to
1 Jul 2025
Same period 2024 Same period 2023
Rank 76 - -
Rank change year-on-year - - -
Permanent jobs citing Spark SQL 1 0 0
As % of all permanent jobs advertised in Leeds 0.11% - -
As % of the Database & Business Intelligence category 0.69% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
West Yorkshire median annual salary - - -

All Database and Business Intelligence Skills
Leeds

Spark SQL falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Leeds.

Permanent vacancies with a requirement for database or business intelligence skills 145 384 551
As % of all permanent jobs advertised in Leeds 16.57% 15.62% 20.33%
Number of salaries quoted 121 264 365
10th Percentile £42,500 £34,300 £40,000
25th Percentile £50,000 £41,250 £45,000
Median annual salary (50th Percentile) £60,000 £50,000 £55,000
Median % change year-on-year +20.00% -9.09% -
75th Percentile £77,500 £65,603 £70,000
90th Percentile £87,500 £81,750 £82,500
West Yorkshire median annual salary £60,000 £50,750 £52,500
% change year-on-year +18.23% -3.33% -4.55%

Spark SQL
Job Vacancy Trend in Leeds

Job postings citing Spark SQL as a proportion of all IT jobs advertised in Leeds.

Job vacancy trend for Spark SQL in Leeds

Spark SQL
Salary Trend in Leeds

3-month moving average salary quoted in jobs citing Spark SQL in Leeds.

Salary trend for Spark SQL in Leeds

Spark SQL
Co-occurring Skills and Capabilities in Leeds by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Application Platforms
1 1 (100.00%) Apache Spark
Cloud Services
1 1 (100.00%) Amazon EKS
1 1 (100.00%) Amazon ELB
1 1 (100.00%) Amazon S3
1 1 (100.00%) AWS
Database & Business Intelligence
1 1 (100.00%) Delta Lake
1 1 (100.00%) DynamoDB
1 1 (100.00%) Metadata
Development Applications
1 1 (100.00%) MLflow
General
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Machine Learning Engineer
1 1 (100.00%) Operations Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Keras
1 1 (100.00%) Lambda Expressions
1 1 (100.00%) Metaflow
1 1 (100.00%) NumPy
1 1 (100.00%) Pandas
1 1 (100.00%) PySpark
1 1 (100.00%) PyTorch
1 1 (100.00%) scikit-learn
1 1 (100.00%) TensorFlow
1 1 (100.00%) YAML
Miscellaneous
1 1 (100.00%) Linux Command Line
Operating Systems
1 1 (100.00%) Unix
Processes & Methodologies
1 1 (100.00%) Artificial Intelligence
1 1 (100.00%) CI/CD
1 1 (100.00%) Containerisation
1 1 (100.00%) Data Science
1 1 (100.00%) Deployment Automation
1 1 (100.00%) Information Security
1 1 (100.00%) Machine Learning
1 1 (100.00%) Metadata Management
1 1 (100.00%) MLOps
1 1 (100.00%) OO
1 1 (100.00%) OOP
1 1 (100.00%) OWASP
1 1 (100.00%) Time Management
1 1 (100.00%) Unit Testing
1 1 (100.00%) Visualisation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
System Software
1 1 (100.00%) Docker
Systems Management
1 1 (100.00%) Kubeflow
1 1 (100.00%) Kubernetes
1 1 (100.00%) Terraform
Vendors
1 1 (100.00%) Databricks